Articles | Volume 37, issue 6
https://doi.org/10.5194/angeo-37-1095-2019
https://doi.org/10.5194/angeo-37-1095-2019
Regular paper
 | 
10 Dec 2019
Regular paper |  | 10 Dec 2019

Comparing high-latitude thermospheric winds from Fabry–Perot interferometer (FPI) and challenging mini-satellite payload (CHAMP) accelerometer measurements

Anasuya Aruliah, Matthias Förster, Rosie Hood, Ian McWhirter, and Eelco Doornbos

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (21 Aug 2019) by Christoph Jacobi
AR by Anasuya Aruliah on behalf of the Authors (21 Aug 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Aug 2019) by Christoph Jacobi
RR by Anonymous Referee #1 (04 Sep 2019)
RR by Anonymous Referee #2 (26 Sep 2019)
ED: Publish subject to revisions (further review by editor and referees) (27 Sep 2019) by Christoph Jacobi
AR by Anasuya Aruliah on behalf of the Authors (18 Oct 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Oct 2019) by Christoph Jacobi
RR by Anonymous Referee #2 (23 Oct 2019)
ED: Publish as is (24 Oct 2019) by Christoph Jacobi

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Anasuya Aruliah on behalf of the Authors (09 Dec 2019)   Author's adjustment   Manuscript
EA: Adjustments approved (09 Dec 2019) by Christoph Jacobi
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Short summary
Winds near the top of the atmosphere are expected to be the same at all heights for a given location by assuming high viscosity in rarefied gases. However, wind measurements from satellite drag at 350–400 km altitude were found to be up to 2 times larger than optical measurements at ∼240 km. Satellites provide global measurements, and ground-based FPIs provide long-term monitoring at single sites. So we must understand this inconsistency to model and predict atmospheric behaviour correctly.